Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference and metagenome-assembled genomes, we define unique marker genes for 26,970 species-level genome bins, 4,992 of them taxonomically unidentified at the species level. MetaPhlAn 4 explains ~20% more reads in most international human gut microbiomes and >40% in less-characterized environments such as the rumen microbiome and proves more accurate than available alternatives on synthetic evaluations while also reliably quantifying organisms with no cultured isolates. Application of the method to >24,500 metagenomes highlights previously undetected species to be strong biomarkers for host conditions and lifestyles in human and mouse microbiomes and shows that even previously uncharacterized species can be genetically profiled at the resolution of single microbial strains.

Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4 / Blanco-Míguez, Aitor; Beghini, Francesco; Cumbo, Fabio; Mciver, Lauren J.; Thompson, Kelsey N.; Zolfo, Moreno; Manghi, Paolo; Dubois, Leonard; Huang, Kun D.; Thomas, Andrew Maltez; Nickols, William A.; Piccinno, Gianmarco; Piperni, Elisa; Punčochář, Michal; Valles-Colomer, Mireia; Tett, Adrian; Giordano, Francesca; Davies, Richard; Wolf, Jonathan; Berry, Sarah E.; Spector, Tim D.; Franzosa, Eric A.; Pasolli, Edoardo; Asnicar, Francesco; Huttenhower, Curtis; Segata, Nicola. - In: NATURE BIOTECHNOLOGY. - ISSN 1087-0156. - 2023, 41:(2023), pp. 1633-1644. [10.1038/s41587-023-01688-w]

Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4

Beghini, Francesco;Cumbo, Fabio;Zolfo, Moreno;Manghi, Paolo;Dubois, Leonard;Thomas, Andrew Maltez;Piccinno, Gianmarco;Piperni, Elisa;Valles-Colomer, Mireia;Tett, Adrian;Pasolli, Edoardo;Asnicar, Francesco;Segata, Nicola
2023-01-01

Abstract

Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference and metagenome-assembled genomes, we define unique marker genes for 26,970 species-level genome bins, 4,992 of them taxonomically unidentified at the species level. MetaPhlAn 4 explains ~20% more reads in most international human gut microbiomes and >40% in less-characterized environments such as the rumen microbiome and proves more accurate than available alternatives on synthetic evaluations while also reliably quantifying organisms with no cultured isolates. Application of the method to >24,500 metagenomes highlights previously undetected species to be strong biomarkers for host conditions and lifestyles in human and mouse microbiomes and shows that even previously uncharacterized species can be genetically profiled at the resolution of single microbial strains.
2023
Blanco-Míguez, Aitor; Beghini, Francesco; Cumbo, Fabio; Mciver, Lauren J.; Thompson, Kelsey N.; Zolfo, Moreno; Manghi, Paolo; Dubois, Leonard; Huang, ...espandi
Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4 / Blanco-Míguez, Aitor; Beghini, Francesco; Cumbo, Fabio; Mciver, Lauren J.; Thompson, Kelsey N.; Zolfo, Moreno; Manghi, Paolo; Dubois, Leonard; Huang, Kun D.; Thomas, Andrew Maltez; Nickols, William A.; Piccinno, Gianmarco; Piperni, Elisa; Punčochář, Michal; Valles-Colomer, Mireia; Tett, Adrian; Giordano, Francesca; Davies, Richard; Wolf, Jonathan; Berry, Sarah E.; Spector, Tim D.; Franzosa, Eric A.; Pasolli, Edoardo; Asnicar, Francesco; Huttenhower, Curtis; Segata, Nicola. - In: NATURE BIOTECHNOLOGY. - ISSN 1087-0156. - 2023, 41:(2023), pp. 1633-1644. [10.1038/s41587-023-01688-w]
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